Smart Building Energy Management using Big Data Analytic Approach

The increasing amount of population in Malaysia reflects on its energy consumption, especially on its electrical usage. Hence, a few vital points on energy issues are discussed predominantly in the engineering world on how it could be utilized optimally. One of the way of looking thorough onto this matter is through an Energy Management System. This study is focused on one of the aided system that can boost energy management system performance called Internet of Things and Big Data (IBDA) architecture. The system mentioned are based on four elements of generation, extraction, storage and visualization. Data marked as voltage, current, power, energy, temperature and humidity from existing IoT environment were stored into an open source cloud of phpMyAdmin. From there, the data can be imported manually for energy audit purpose or automatically in real time to be visualized in website or any online medium. For this case study, the data from the storage are scaled in MySQL indexing before it is presented visually in the website that were built based on HTML, CSS and JavaScript language. The accomplished system acts as a monitoring tool for energy management consultant to study the energy profiling of any environment before any further consultation can be made. The system can be improved more on the data variety, volume and velocity as the existing system only emphasis on the foundation of IBDA not on Big Data specifically as it requires a huge amount of data for the system to be able to adjust to its literal meaning.